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A Novel Drift Detection Algorithm Based on Features’ Importance Analysis in a Data Streams Environment Cover

A Novel Drift Detection Algorithm Based on Features’ Importance Analysis in a Data Streams Environment

Journal of Artificial Intelligence and Soft Computing Research
Volume 10 (2020): Issue 4 (October 2020)
By: Piotr Duda,  Krzysztof Przybyszewski and  Lipo Wang  
Open Access
|Jun 2020
DOI: https://doi.org/10.2478/jaiscr-2020-0019
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Language: English
Page range: 287 - 298
Submitted on: Nov 5, 2019
Accepted on: May 18, 2020
Published on: Jun 15, 2020
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
data stream mining,
random forest,
features importance
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2020 Piotr Duda, Krzysztof Przybyszewski, Lipo Wang, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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